ArticleEuropean radiology experimental2017
Trends in radiology and
Article in European radiology experimental, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 48 citations in OpenAlex.
- CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency.European radiology experimental · 2024Article
- Strategies for calculating contrast media dose for chest CT.European radiology experimental · 2023Article
- An audit of patient radiation doses in interventional radiology at a South African hospital.SA journal of radiology · 2023Article
- Exploring the translational challenge for medical applications of ionising radiation and corresponding radiation protection research.Journal of translational medicine · 2022Article
- Imaging in experimental models of diabetes.Acta diabetologica · 2022Review
- Quantitative X-ray phase contrast computed tomography with grating interferometry : Biomedical applications of quantitative X-ray grating-based phase contrast computed tomography.European journal of nuclear medicine and molecular imaging · 2021Review
- Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future.Cancer cell international · 2021Review
- Radiology in the era of value-based healthcare: a multi-society expert statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA.Insights into imaging · 2020Article
- Lean body weight versus total body weight to calculate the iodinated contrast media volume in abdominal CT: a randomised controlled trial.Insights into imaging · 2020Article
- Do we still need breast cancer screening in the era of targeted therapies and precision medicine?Insights into imaging · 2020Review
- Review
- Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.Medical oncology (Northwood, London, England) · 2020Review
- The future of radiology is now: the first 100 articles published in European Radiology Experimental.European radiology experimental · 2019Article
- Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.European radiology experimental · 2018Review
- To share or not to share? Expected pros and cons of data sharing in radiological research.European radiology · 2018Article
- Rotator cuff calcific tendinopathy: from diagnosis to treatment.Acta bio-medica : Atenei Parmensis · 2018Review
- Developments in the management of bone metastases with interventional radiology.Acta bio-medica : Atenei Parmensis · 2018Review
- Diffusion tensor imaging in the musculoskeletal and peripheral nerve systems: from experimental to clinical applications.European radiology experimental · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.